29 citations · 66 across the 10 of their papers we have counts for
10 papers
When MiniBatch SGD Meets SplitFed Learning:Convergence Analysis and Performance Evaluation
Chao Huang, Geng Tian, Ming Tang
Federated learning (FL) enables collaborative model training across distributed clients (e.g., edge devices) without sharing raw data. Yet, FL can be computationally expensive as t…
EavesDroid: Eavesdropping User Behaviors via OS Side-Channels on Smartphones
Quancheng Wang, Ming Tang, Jianming Fu
As the Internet of Things (IoT) continues to evolve, smartphones have become essential components of IoT systems. However, with the increasing amount of personal information stored…
Deep Learning for Human Parsing: A Survey
Xiaomei Zhang, Xiangyu Zhu, Ming Tang +1
Human parsing is a key topic in image processing with many applications, such as surveillance analysis, human-robot interaction, person search, and clothing category classification…
Video Similarity and Alignment Learning on Partial Video Copy Detection
Zhen Han, Xiangteng He, Mingqian Tang +1
Existing video copy detection methods generally measure video similarity based on spatial similarities between key frames, neglecting the latent similarity in temporal dimension, s…
MST: Masked Self-Supervised Transformer for Visual Representation
Zhaowen Li, Zhiyang Chen, Fan Yang +8
Transformer has been widely used for self-supervised pre-training in Natural Language Processing (NLP) and achieved great success. However, it has not been fully explored in visual…
Adaptive Class Suppression Loss for Long-Tail Object Detection
Tong Wang, Yousong Zhu, Chaoyang Zhao +3
To address the problem of long-tail distribution for the large vocabulary object detection task, existing methods usually divide the whole categories into several groups and treat…